AttackIQ
SpartanX vs AttackIQ
Discover why SpartanX finds real vulnerabilities while AttackIQ validates existing controls
Feature-by-Feature Comparison
| Category | SpartanX | AttackIQ |
|---|---|---|
| Core Vision | Agentic AI Security Workforce, autonomous AI agents that find real exploitable vulnerabilities and fix them while continuously red-teaming. | Adversarial Exposure Validation (AEV) platform, validates whether security controls detect and stop known attack techniques. |
| Mission Focus | Full lifecycle: discover → validate → prioritize → fix → simulate attacks → report. | 'You can't manage what you can't measure', continuously validate control effectiveness using MITRE ATT&CK. |
| Core Differentiation | Finds and fixes real, novel vulnerabilities in live systems. | Tests whether defenses would catch known attack techniques, does not discover new vulnerabilities. |
| Scope of Coverage | Code → Infra → Cloud → APIs → LLMs → Continuous Red-Team. | Endpoints, networks, cloud, any asset where control validation agents can be deployed. |
| Automation Level | Multi-agent AI, fully autonomous from discovery to fix and report. | Automated BAS/AEV scenarios, tests run continuously against security tools, but humans interpret and act. |
| Remediation Capability | Auto-generates code fixes + Pull Requests into developer repos. | AVA AI provides remediation recommendations, no automated fix execution. |
| Real Exploit Generation | Generates working PoC exploit chains against live systems. | Simulates attack techniques against deployed controls, not real exploitation of actual vulnerabilities. |
| Offensive Security | Autonomous AI pentesting of real applications, APIs, infra, and AI systems. | Control validation through ATT&CK-aligned simulation, not adversarial testing of live attack surface. |
| Knowledge Intelligence | Ontology-driven Knowledge Graph linking vulns ⇔ MITRE ATT&CK ⇔ business impact ⇔ compliance. | Deeply aligned with MITRE ATT&CK framework, CTEM + AEV operating model. |
| DevSecOps Integration | Deep CI/CD and developer workflow integration. | No developer tooling, SOC and detection engineering focused. |
| Compliance Reporting | Auto-generates ISO 27001, PCI-DSS, HIPAA, NIST, GDPR, DORA, SOX reports. | Control coverage mapped to frameworks, supports security program reporting. |
| Multi-Tenant / MSSP Ready | Native multi-tenant architecture for MSSPs and large enterprises. | Flex and Ready tiers for different maturity, not natively MSSP multi-tenant. |
| AI / LLM Security | Full LLM/AI red-team module, prompt injection, data exfil, model abuse. | No AI/LLM attack surface testing. |
| Unique Outcome | Discovers what attackers could exploit today, then fixes it. | Tells you if your SIEM/EDR would fire, then you tune controls. |
| Market Positioning | AI Security Workforce, proactive, autonomous, full stack offense + defense. | MITRE-aligned AEV platform, the control validation standard for enterprise. |
| Ideal Users | CISOs, AppSec leads, DevSecOps engineers, MSSPs. | SOC teams, red/purple/blue teams, detection engineers, CISOs in Fortune 500. |
SpartanX Key Advantages
Validates controls, does not discover new exploitable vulnerabilities
SpartanX finds real, novel attack paths in live systems
No remediation automation
Auto-PR generation with validated code fixes
No code-level or DevSecOps coverage
Native developer workflow and CI/CD integration
Simulation against known techniques, not real exploit chains
SpartanX generates working PoC exploits against actual systems
No AI/LLM attack surface testing
Dedicated LLM red-team module
No MSSP multi-tenant architecture
Native multi-tenant platform for service providers
Enterprise-only focus (Fortune 500)
Serves SME through enterprise with flexible deployment
SOC-only orientation
Unifies Dev, Sec, and Ops teams in one platform